预测建模以揭示延迟帕金森病诊断的特征。
Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis.
作者信息
Hähnel Tom, Raschka Tamara, Klucken Jochen, Glaab Enrico, Corvol Jean-Christophe, Falkenburger Björn H, Fröhlich Holger
机构信息
Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany.
Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
出版信息
NPJ Parkinsons Dis. 2025 Apr 2;11(1):64. doi: 10.1038/s41531-025-00923-2.
PD patients present with diverse symptoms, complicating timely diagnosis. We analyzed 1124 PD trajectories using a novel model-based approach to estimate whether diagnosis was early or late compared to cohort averages. Higher age, specific non-motor symptoms, and fast disease progression were linked to later diagnosis, while gait impairment led to earlier diagnosis. Our findings are in line with a biological definition of PD that extends beyond classical motor symptoms.
帕金森病患者表现出多样的症状，这使得及时诊断变得复杂。我们使用一种基于模型的新方法分析了1124条帕金森病病程，以估计与队列平均值相比诊断是早还是晚。年龄较大、特定的非运动症状以及疾病进展迅速与诊断较晚有关，而步态障碍则导致较早诊断。我们的研究结果与帕金森病的生物学定义一致，该定义超出了经典的运动症状。
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